Journal Home > Volume 11 , Issue 1

Identifying possible airborne transmission routes and assessing the associated infectious risks are essential for implementing effective control measures. This study focuses on the infiltration-induced inter-unit pollutant dispersion in a high-rise residential (HRR) building. The outdoor wind pressure distribution on the building facades was obtained from the wind tunnel experiments. And the inter-household infiltration and tracer gas transmission were simulated using multi-zone model. The risk levels along building height and under different wind directions were examined, and influence of component leakage area was analysed. It is found that, the cross-infection risk can be over 20% because of the low air infiltration rate below 0.7 ACH, which is significantly higher than the risk of 9% obtained in our previous on-site measurement with air change rate over 3 ACH. As the air infiltration rate increases along building height, cross-infection risk is generally higher on the lower floors. The effect of wind direction on inter-unit dispersion level is significant, and the presence of a contaminant source in the windward side results in the highest cross-infection risks in other adjacent units on the same floor. Properly improving internal components tightness and increasing air change via external components are beneficial to the control of internal inter-unit transmission induced by infiltration. However, this approach may increase the cross-infection via the external transmission, and effective control measures should be further explored considering multiple transmission routes.


menu
Abstract
Full text
Outline
About this article

Air infiltration induced inter-unit dispersion and infectious risk assessment in a high-rise residential building

Show Author's information Yan Wu1Jianlei Niu2( )Xiaoping Liu3
Department of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Faculty of Architecture, Design and Planning, The University of Sydney, Australia
School of Civil Engineering, HeFei University of Technology, China

Abstract

Identifying possible airborne transmission routes and assessing the associated infectious risks are essential for implementing effective control measures. This study focuses on the infiltration-induced inter-unit pollutant dispersion in a high-rise residential (HRR) building. The outdoor wind pressure distribution on the building facades was obtained from the wind tunnel experiments. And the inter-household infiltration and tracer gas transmission were simulated using multi-zone model. The risk levels along building height and under different wind directions were examined, and influence of component leakage area was analysed. It is found that, the cross-infection risk can be over 20% because of the low air infiltration rate below 0.7 ACH, which is significantly higher than the risk of 9% obtained in our previous on-site measurement with air change rate over 3 ACH. As the air infiltration rate increases along building height, cross-infection risk is generally higher on the lower floors. The effect of wind direction on inter-unit dispersion level is significant, and the presence of a contaminant source in the windward side results in the highest cross-infection risks in other adjacent units on the same floor. Properly improving internal components tightness and increasing air change via external components are beneficial to the control of internal inter-unit transmission induced by infiltration. However, this approach may increase the cross-infection via the external transmission, and effective control measures should be further explored considering multiple transmission routes.

Keywords: air infiltration, inter-unit dispersion, infectious risk assessment, multi-zone modeling, wind tunnel experiment

References(40)

ZT Ai, CM Mak (2014). A study of interunit dispersion around multistory buildings with single-sided ventilation under different wind directions. Atmospheric Environment, 88: 1–13.
ZT Ai, CM Mak (2016). Large eddy simulation of wind-induced interunit dispersion around multistory buildings. Indoor Air, 26: 259–273.
ASHRAE (2007). ASHRAE Handbook—HVAC applications. Atlanta, GA, USA: American Society of Heating, Refrigerating and Air Conditioning Engineers.
CKC Cheng, KM Lam, YTA Leung, K Yang, DHW Li, SCP Cheung (2011). Wind-induced natural ventilation of re-entrant bays in a high-rise building. Journal of Wind Engineering and Industrial Aerodynamics, 99: 79–90.
SJ Emmerich (2001). Validation of multizone IAQ modeling of residential-scale buildings: A review. ASHRAE Transactions, 107(2): 619–628.
NP Gao, JL Niu, M Perino, P Heiselberg (2008). The airborne transmission of infection between flats in high-rise residential buildings: Tracer gas simulation. Building and Environment, 43: 1805–1817.
NP Gao, JL Niu, M Perino, P Heiselberg (2009). The airborne transmission of infection between flats in high-rise residential buildings: Particle simulation. Building and Environment, 44: 402–410.
F Jomehzadeh, P Nejat, JK Calautit, MBM Yusof, SA Zaki, BR Hughes, MNAWM Yazid (2016). A review on windcatcher for passive cooling and natural ventilation in buildings, Part 1: Indoor air quality and thermal comfort assessment. Renewable and Sustainable Energy Reviews, 70: 736–756.
P Karava, T Stathopoulos, AK Athienitis (2006). Impact of internal pressure coefficients on wind-driven ventilation analysis. International Journal of Ventilation, 5: 53–66.
P Karava, T Stathopoulos, AK Athienitis (2007). Wind-induced natural ventilation analysis. Solar Energy, 81: 20–30.
P Karava, T Stathopoulos, AK Athienitis (2011). Airflow assessment in cross-ventilated buildings with operable façade elements. Building and Environment, 46: 266–279.
T Kobayashi, K Sagara, T Yamanaka, H Kotani, S Takeda, M Sandberg (2009). Stream tube based analysis of problems in prediction of cross-ventilation rate. International Journal of Ventilation, 7: 321–334.
T Kobayashi, M Sandberg, H Kotani, L Claesson (2010). Experimental investigation and CFD analysis of cross-ventilated flow through single room detached house model. Building and Environment, 45: 2723–2734.
ACK Lai, WW Nazaroff (2000). Modeling indoor particle deposition from turbulent flow onto smooth surfaces. Journal of Aerosol Science, 31: 463–476.
Y Li, A Delsante, J Symons (2000). Prediction of natural ventilation in buildings with large openings. Building and Environment, 35: 191–206.
Y Li, S Duan, IT Yu, TW Wong (2005). Multi-zone modeling of probable SARS virus transmission by airflow between flats in Block E, Amoy Gardens. Indoor Air, 15: 96–111.
Y Li, GM Leung, JW Tang, X Yang, CYH Chao, JZ Lin, JW Lu, PV Nielsen, J Niu, H Qian, et al. (2007). Role of ventilation in airborne transmission of infectious agents in the built environment—A multidisciplinary systematic review. Indoor Air, 17: 2–18.
D-L Liu, WW Nazaroff (2003). Particle penetration through building cracks. Aerosol Science and Technology, 37: 565–573.
XP Liu (2011). Experimental and numerical investigation of air cross- contamination around typical high-rise residential building in Hong Kong. PhD Thesis, The Hong Kong Polytechnic University.
XP Liu, JL Niu, KCS Kwok, JH Wang, BZ Li (2010). Investigation of indoor air pollutant dispersion and cross-contamination around a typical high-rise residential building: Wind tunnel tests. Building and Environment, 45: 1769–1778.
XP Liu, JL Niu, KC Kwok, JH Wang, BZ Li (2011). Local characteristics of cross-unit contamination around high-rise building due to wind effect: Mean concentration and infection risk assessment. Journal of Hazardous Materials, 192: 160–167.
M Nicas, WW Nazaroff, A Hubbard (2005). Toward understanding the risk of secondary airborne infection: emission of respirable pathogens. Journal of Occupational and Environmental Hygiene, 2: 143–154.
J Niu, TCW Tung (2008). On-site quantification of re-entry ratio of ventilation exhausts in multi-family residential buildings and implications. Indoor Air, 18: 12–26.
K Nore, B Blocken, JV Thue (2010). On CFD simulation of wind- induced airflow in narrow ventilated facade cavities: Coupled and decoupled simulations and modelling limitations. Building and Environment, 45: 1834–1846.
ST Parker, DM Lorenzetti, MD Sohn (2014). Implementing state-space methods for multizone contaminant transport. Building and Environment, 71: 131–139.
R Ramponi, B Blocken (2012). CFD simulation of cross-ventilation for a generic isolated building: Impact of computational parameters. Building and Environment, 53: 34–48.
EC Riley, G Murphy, RL Riley (1978). Airborne spread of measles in a suburban elementary school. American Journal of Epidemiology, 107: 421–432.
RL Riley (1974). Airborne infection. The American Journal of Medicine, 57: 466–475.
M Sandberg (2004). An alternative view on the theory of cross- ventilation. International Journal of Ventilation, 2: 409–418.
J Seifert, Y Li, J Axley, M Rösler (2006). Calculation of wind-driven cross ventilation in buildings with large openings. Journal of Wind Engineering and Industrial Aerodynamics, 94: 925–947.
ANZ Standard (2011). AS/NZS 1170.2: 2011 Structural Design Actions—Part 2: Wind actions.
N Temenos, D Nikolopoulos, E Petraki, PH Yannakopoulos (2015). Modelling of indoor air quality of Greek apartments using CONTAM (W) software. Journal of Physical Chemistry & Biophysics, 5: 190.
TCW Tung, CYH Chao, J Burnett (1999). A methodology to investigate the particulate penetration coefficient through building shell. Atmospheric Environment, 33: 881–893.
GN Walton, WS Dols (2003). NISTIR 7251, CONTAM 2.4 User Guide and Program Documentation. Gaithersburg, MD, USA: National Institute of Standards and Technology.
DOI
JH Wang, JL Niu, XP Liu, CWF Yu (2010a). Assessment of pollutant dispersion in the re-entrance space of a high-rise residential building, using wind tunnel simulations. Indoor and Built Environment, 19: 638–647.
LL Wang, WS Dols, Q Chen (2010b). Using CFD capabilities of CONTAM 3.0 for simulating airflow and contaminant transport in and around buildings. HVAC&R Research, 16: 749–763.
Y Wu, J Niu (2016). Assessment of mechanical exhaust in preventing vertical cross-household infections associated with single-sided ventilation. Building and Environment, 105: 307–316.
Y Wu, J Niu (2017). Numerical study of inter-building dispersion in residential environments: Prediction methods evaluation and infectious risk assessment. Building and Environment, 115: 199–214.
Y Wu, TCW Tung, JL Niu (2016). On-site measurement of tracer gas transmission between horizontal adjacent flats in residential building and cross-infection risk assessment. Building and Environment, 99: 13–21.
IT Yu, Y Li, TW Wong, W Tam, AT Chan, JH Lee, DY Leung, T Ho (2004). Evidence of airborne transmission of the severe acute respiratory syndrome virus. New England Journal of Medicine, 350: 1731–1739.
Publication history
Copyright
Acknowledgements

Publication history

Received: 22 March 2017
Revised: 24 May 2017
Accepted: 05 June 2017
Published: 10 July 2017
Issue date: February 2018

Copyright

© Tsinghua University Press and Springer-Verlag GmbH Germany 2017

Acknowledgements

The research is financially funded by Health and Medical Research Fund, Hong Kong SAR Government, with the project reference no.13121442.

Return